Simple Random Sampling - Every member of the population has an equal chance of being selected for the sample. Researchers need to have a sample frame., Stratified Sampling - Dividing the population into subgroups or strata based on specific characteristics. It is inter-stratum heterogeneous, intra-stratum homogeneous., Systematic Sampling - Choose a random starting point, and then you select every nth member after that, Cluster Sampling - Divides the population into clusters or groups with inter-cluster homogeneous, intra-cluster heterogeneous. ,

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